Avoid These 5 Major AI Automation Mistakes in Your Business

“My apologies about R2D2 right there Ryan, I use it sometimes when I need to automate parts of my business lol,” said the sales guy, Bryce, to a potential lead. And then we drop a “not a bot” audio that shows there’s genuinely a real person on the other side.

(There’s not though)

The irony is this: The part where we say we’re human is also an AI automation we use in our business.

Because certain errors happen frequently with sales chatbots and marketing chatbots. So part of the process is creating automation for where automation breaks down. 

The good news is this: It is all backend stuff, and customers don’t care, as long as the automation is effective…most of the time. But if you’re going to have a stab at integrating AI into your business, better to not have a stab at it in the dark, am I right?

So here I am, writing an article on the 5 major AI automation mistakes you could make in your business so your customers won’t hate you for using R2D2.

Let’s jump in ?

1. Avoiding Over-Automation in Business Workflows

I got a spam call from a random caller the other day who called me Michael. He must have had my number on an old record, but any chance of convincing me to his side was over in those first nine letters: “Hey Michael”

AI automation in business runs into the same problem. Your marketing chatbot or sales chatbot doesn’t know your customer because it doesn’t have the backlog to personalize its message.

Business owners then make the mistake of sending out generic, one-size-fits-all responses. Customers feel like just another number. 

At the least, they ignore you. At the worst, they’re no longer a customer.

AI can crunch data like a beast, but if you’re not using it to personalize your interactions, you’re missing the point.

Solution: Leverage AI to analyze customer data and deliver personalized experiences. Use insights from previous interactions to tailor responses, offers, and solutions that make your customers feel valued.

3. Faulty Data in Your Businesses’ Automation

Feeding your AI poor data is like putting diesel in a gas engine—it’s not going to get you far and you’re going to be p*ssed when it eventually breaks down.

So the AI automation in your business is only as good as the data it’s trained on. This means if you’re pumping in bad data, expect bad outcomes. 

But what are some examples of poor data that you need to know?

Outdated Customer Preferences: Imagine your AI is still recommending baby products to a customer whose child is now in kindergarten. 

If your data doesn’t reflect updated preferences, you’re not only wasting resources but also annoying your customers with irrelevant suggestions.

Inconsistent Formatting: Let’s say your database has dates listed in multiple formats—some as “MM/DD/YYYY” and others as “DD/MM/YYYY.” This can confuse your AI, leading to misinterpretations that affect everything from scheduling to analytics.

Duplicate Records: When a single customer appears multiple times in your system under slightly different names or emails, your AI could treat them as separate individuals. This can result in redundant communications, skewed analytics, and a diluted customer experience.

Biased Training Data: If your AI is trained on data that over-represents a particular demographic or behavior, it might develop biases that affect its recommendations or decisions. 

For instance, an AI trained primarily on urban customer data might make poor predictions for rural customers.

Irrelevant Data Sources: Sometimes businesses incorporate data that isn’t relevant to their objectives. 

For example, including social media trends in a model designed for inventory management might lead to misaligned strategies if the data doesn’t directly correlate with purchasing behavior.

Whether it’s outdated information, incomplete records, or irrelevant data, the quality of what you input directly affects what you get out.

Solution: Regularly audit and clean your data. Implement strong data management practices to ensure that your AI is working with the most accurate and relevant information possible.

4. Undefined Goals Can Derail Automation in Your Business

“An iPod, a phone, and an internet communicator…are you getting it?” Steve Jobs said to a crowd of 4,000 people back in 2007.

As much as Apple has tried to capture the same moment and the same vibe since Steve Jobs passed away, they’ve had no luck. 

(Some might argue the release of the Vision Pro was an “iPhone”-esque event but I disagree. That’s another article for another time)

When ChatGPT came along and revolutionized the entire tech game, you could tell that Apple was jealous. Despite Siri, they had failed to integrate this level of automation in their business and scrambled to create Apple Intelligence.

Aside from creating your own emojis and an improved Siri, there wasn’t much that made this AI stand out from the crows.

So how can your business learn from this? Well, if you’re going to have AI automation in your business, you need a clear understanding of what you want to achieve. Otherwise, a lack of direction can lead to wasted resources and disappointing results.

Solution: Define clear, measurable objectives before implementing AI. Whether it’s improving customer response times, increasing sales conversions, or enhancing product recommendations, having a clear goal will guide your AI deployment and measure its success​.

Who knows what you could come up with if you actually have objectives in mind!

At I Need This Marketing, we’ve spoken to several small businesses that have been building their sales chatbots and marketing chatbots to talk with potential buyers over social media. 

For them, they see chatbots as the future of sales, and therefore, it is the key to making the most money as efficiently and quickly as possible. But it all depends on your objectives and your goals.

5. Your Automation in Your Business Needs To Be 100% AI

Imagine 100 years from now, business owners not only have AI automation in their businesses but also AI automation in their brains. 

(I imagine brain implements that pull knowledge from the AI software so everyone gets super smart, but this could be a cliche, and the reality might be different)

The point is: Many would challenge this future and be disinclined to fully integrate AI, similar to how businesses got a website back in the 2000s because it was “the thing”, but they had no idea about landing pages, UX design, or SEO. 

They did it because they didn’t want to seem backwards, even though their heart wasn’t in it.

And so, many small business owners run into the same trap. They treat AI and live chat sales as separate entities, which can lead to disjointed processes and siloed information. They just want to go back to business as normal and leave AI on the sidelines.

Solution: Ensure that your AI tools are fully integrated with your current CRM, marketing platforms, and other business systems.

Even if you don’t think the system operates well enough, treat it as the first building blocks to build your AI business. Once you’ve worked out how to lay the bricks, you can protect yourself and your business from any storm that might come your way.

And if you’re wondering what kind of bricks are being laid in other “houses” so to speak, keep on reading, because I’ll give you that info for free.

Stop Poor AI Automation from Sabotaging Your Business Growth

The 9 Common DM Practices That Will Jeopardize Your Account On Meta

Bob Dylan once said: The times they are a-changin. And while those lyrics are bound to the changing winds of the 60s, the times are, well, changing again.

This time, AI reshapes our daily lives and the business world, creating a vast array of winners and unexpected losers. 

Businesses are creating the tools and the technology that will make your life 10x easier. Whether that’s waking up to a AI newsreport from Scarlett Johanson, or having AI predict any disruptions on your long drive to Florida. It really has come to this: AI in your daily life has become the new norm.

And it’s nothing to fear either. It’s something to embrace.

But not everybody has embraced AI just yet, especially when it comes DM automation on social media.

Instagram, for example, actively ban accounts that use chatbots. They claim it’s because they want an “authentic experience”

But do you want to know the real reason? DM automation puts power back into the hands of small businesses, instead of the Big Tech companies that want AI all for themselves.

So in order to navigate Meta’s draconian terms and conditions, we’re giving away a free playbook called: “The 9 Common DM Practices That Will Jeopardize Your Account On Meta”

This is how you ensure you modernize your business without falling for the common pitfalls we see on a daily basis.